Samsung Galaxy S23
Geekbench AI Score
685
Single Precision Score
854
Half Precision Score
1379
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 25 2024 10:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
100% |
1360
253.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1565
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1735
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1479
1.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
2837
3.37 IPS |
|
|
Object Detection (SP)
|
98% |
286
22.8 IPS |
|
|
Object Detection (HP)
|
98% |
431
34.3 IPS |
|
|
Object Detection (Q)
|
83% |
956
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
1616
19.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
881
6.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
1163
8.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1912
17.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2112
2.74 IPS |
|
|
Style Transfer (HP)
|
89% |
2911
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
5263
6.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1459
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
331
441.7 IPS |
|
|
Text Classification (HP)
|
99% |
331
442.4 IPS |
|
|
Text Classification (Q)
|
88% |
513
691.9 IPS |
|
|
Machine Translation (SP)
|
100% |
504
8.67 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
